| dc.creator | Barbosa, Bruno Henrique Groenner | |
| dc.creator | Ferreira, Danton Diego | |
| dc.date | 2017-06-06T20:49:34Z | |
| dc.date | 2017-06-06T20:49:34Z | |
| dc.date | 2013-10 | |
| dc.date.accessioned | 2023-09-28T19:55:37Z | |
| dc.date.available | 2023-09-28T19:55:37Z | |
| dc.identifier | BARBOSA, B. H. G.; FERRERA, D. D. Classification of multiple and single power quality disturbances using a decision tree-based approach. Journal of Control, Automation and Electrical Systems, [S. l.], v. 24, n. 5, p. 638–648, Oct. 2013. | |
| dc.identifier | https://link.springer.com/article/10.1007/s40313-013-0061-y | |
| dc.identifier | http://repositorio.ufla.br/jspui/handle/1/13177 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9040326 | |
| dc.description | This paper presents a new approach for power quality (PQ) disturbance classification. In order to classify both single and multiple disturbances, the principle of divide-and-conquer is employed and a tree structure is constructed by means of simple classifiers: Perceptrons and a Bayesian classifier. Aiming at reducing its computational cost, only six parameters extracted from the filtered electrical signal are used by the final classifier. Such parameters are the second-order cumulants and the RMS value. Results show that the proposed approach can classify many types of PQ disturbances with good accuracy even for different values of signal-to-noise ratio and for real data. | |
| dc.language | en_US | |
| dc.publisher | Springer | |
| dc.rights | restrictAccess | |
| dc.source | Journal of Control, Automation and Electrical Systems | |
| dc.subject | Power quality | |
| dc.subject | Decision tree | |
| dc.subject | Power disturbances | |
| dc.subject | Energia - Qualidade | |
| dc.subject | Árvore de decisão | |
| dc.subject | Distúrbios de energia | |
| dc.title | Classification of multiple and single power quality disturbances using a decision tree-based approach | |
| dc.type | Artigo | |
